4.7 Article

Non-market valuation of consumer benefits towards the assessment of energy efficiency gap

Journal

ENERGY AND BUILDINGS
Volume 184, Issue -, Pages 264-274

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.enbuild.2018.11.053

Keywords

Energy efficiency gap; Energy Efficiency Management system; Non-market valuation; Contingent Valuation Method; Ordered probit model

Funding

  1. General Research Fund of the Research Grants Council of the Hong Kong SAR Government [PolyU15233116]

Ask authors/readers for more resources

One difficulty of carrying out a full cost-benefit analysis in the assessment of energy efficiency investment is the monetization of non-market benefits. This research demonstrates a stated preference approach to non-market valuation of benefits from the consumer perception, by identifying the energy efficiency gap. Through the Contingent Valuation Method (CVM), the Willingness-to-Pay for non-market benefits was evaluated through a face-to-face survey on residents interested in participating in a pilot project of Energy Efficiency Management (EEM) system using Information Communication Technology (ICT) in Hong Kong. In addition, the influences of potential users' demographic and consumption characteristics affecting the WTP of the EEM system are investigated by probit analysis and it was found that Age, Number of occupants, Intention and Perceived usefulness are the dominant factors. This study enables policy makers to enhance the gradual diffusion of energy efficiency technologies through energy management with the real time availability of consumption information. (C) 2018 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Green & Sustainable Science & Technology

Evaluation of drivers' benefits accruing from an intelligent parking information system

Wenjing Yang, Patrick T. I. Lam

JOURNAL OF CLEANER PRODUCTION (2019)

Article Engineering, Industrial

An experimental contingent valuation of users' attitudes towards a Crowd Management System

Wenjing Yang, Patrick T. I. Lam

SAFETY SCIENCE (2020)

Article Construction & Building Technology

Evaluating non-market costs of ICT involving data transmission in smart cities

Wenjing Yang, Patrick T. Lam

Summary: The rapid development of Information and Communication Technologies (ICTs) drives the growth of smart cities. Cost justification is a challenging decision-making aspect for smart city projects. Non-market costs, which are often intangible, can have underestimated adverse effects on individuals and non-users, needing to be evaluated. Age has been identified as a significant determinant of non-market costs, and information overload is a notable issue in smart cities.

BUILDING RESEARCH AND INFORMATION (2021)

Article Telecommunications

Reliability Analysis of a Smart Parking Information System: The Case of Hong Kong

Ruiqu Ma, Patrick T. I. Lam, Chi Kin Leung

Summary: Smart cities aim to improve citizens' quality of life, but they also pose unintended pitfalls in terms of information security. System reliability is crucial in the context of smart city development, yet there is a lack of empirical studies on the quality attributes of information security.

WIRELESS PERSONAL COMMUNICATIONS (2021)

Article Ecology

An evaluation of ICT benefits enhancing walkability in a smart city

Wenjing Yang, T. I. Patrick Lam

Summary: Smart cities are rapidly developing with the use of Information and Communication Technologies (ICTs). Walkability-enhanced ICT (WICT) caters to pedestrian needs by providing real-time information as a person walks in an urban environment. Despite heavy government investment in various ICTs, the evaluation of walkability enhancement enabled by integrated ICTs has not been fully addressed in previous studies. WICT, usually provided free of charge, offers intangible benefits to pedestrians, which are quantitatively evaluated in this research through a survey and ordinal regression analysis.

LANDSCAPE AND URBAN PLANNING (2021)

Article Environmental Sciences

A Policy Framework for Producing Age-Friendly Communities from the Perspective of Production of Space

Jianbo Han, Edwin H. W. Chan, Esther H. K. Yung, Queena K. Qian, Patrick T. I. Lam

Summary: This study aims to develop a policy framework to address the cost and conflict of interest issues in age-friendly community development. By using a scientometric approach, the theoretical development of age-friendly community studies was reviewed and a specific policy framework was proposed.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2022)

Article Management

Data centers as the backbone of smart cities: principal considerations for the study of facility costs and benefits

Patrick T. I. Lam, Daniel Lai, Chi-Kin Leung, Wenjing Yang

Summary: The demand for data centers is increasing as smart cities flourish, and their success is greatly affected by real estate costs. Major corporations, institutions, and governments rely on data centers for critical electronic transactions, making them essential for various sectors of society.

FACILITIES (2021)

Article Management

Application of technology to car parking facilities in Asian smart cities

Patrick T. I. Lam, Wenjing Yang

JOURNAL OF FACILITIES MANAGEMENT (2019)

Article Information Science & Library Science

Potential pitfalls of smart city development: A study on parking mobile applications (apps) in Hong Kong

Ruiqu Ma, Patrick T. Lam, C. K. Leung

TELEMATICS AND INFORMATICS (2018)

Article Construction & Building Technology

Cool roof strategies for urban thermal resilience to extreme heatwaves in tropical cities

Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi

Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Estimating omnidirectional urban vertical wind speed with direction-dependent building morphologies

Qi Li, Jiayu Chen, Xiaowei Luo

Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Towards a blockchain and machine learning-based framework for decentralised energy management

Xiaojun Luo, Lamine Mahdjoubi

Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Dual-layer optimization design method for collaborative benefits of renewable energy systems in building clusters: Case study of campus buildings

Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang

Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties

Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer

Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Comprehensive assessment of double skin façades: A mathematical model for evaluating influence of KL ratio on electrical and thermal performances, and indoor conditions

Somil Yadav, Caroline Hachem-Vermette

Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.

ENERGY AND BUILDINGS (2024)

Article Construction & Building Technology

Improving building resilience in the face of future climate uncertainty: A comprehensive framework for enhancing building life cycle performance

Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao

Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.

ENERGY AND BUILDINGS (2024)